activity
20142023
most citedAutoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies

5 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 2 cited

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

Cristiano Patrício, João C. Neves, Luís F. Teixeira

Early detection of melanoma is crucial for preventing severe complications and increasing the chances of successful treatment. Existing deep learning approaches for melanoma skin l…

cs.CV2022★ 2 cited

A survey on attention mechanisms for medical applications: are we moving towards better algorithms?

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira +1

The increasing popularity of attention mechanisms in deep learning algorithms for computer vision and natural language processing made these models attractive to other research dom…

cs.LG2020★ 5 cited

Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies

Mafalda Falcao Ferreira, Rui Camacho, Luis F. Teixeira

Cancer is still one of the most devastating diseases of our time. One way of automatically classifying tumor samples is by analyzing its derived molecular information (i.e., its ge…

cs.RO2019

GarmNet: Improving Global with Local Perception for Robotic Laundry Folding

Daniel Fernandes Gomes, Shan Luo, Luis F. Teixeira

Developing autonomous assistants to help with domestic tasks is a vital topic in robotics research. Among these tasks, garment folding is one of them that is still far from being a…

cs.CV2018★ 2 cited

Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning

João Bernardino, Luís Filipe Teixeira, Hugo Sereno Ferreira

Knee injuries are frequent, varied and often require the patient to undergo intensive rehabilitation for several months. Treatment protocols usually contemplate some recurrent meas…

cs.CV2014★ 3 cited

Active Mining of Parallel Video Streams

Samaneh Khoshrou, Jaime S. Cardoso, Luis F. Teixeira

The practicality of a video surveillance system is adversely limited by the amount of queries that can be placed on human resources and their vigilance in response. To transcend th…